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Python Tutorial by Bernd Klein Python Tutorial by Bernd Klein bodenseo © 2021 Bernd Klein All rights reserved. No portion of this book may be reproduced or used in any manner without written permission from the copyright owner. For more information, contact address: [email protected] www.python-course.eu Python Course Python Tutorial by Bernd Klein Strings.......................................................................................................................................10 Execute a Python script ............................................................................................................11 Start a Python program.............................................................................................................12 Loops ......................................................................................................................................136 Iterators and Iterables .............................................................................................................150 Coffee, Dictionary and a Loop ...............................................................................................171 Parameters and Arguments.....................................................................................................226 Global, Local and nonlocal Variables.....................................................................................237 Regular Expressions ...............................................................................................................305 Lambda, filter, reduce and map ..............................................................................................340 content of test_foobar.py ........................................................................................................428 Deeper into Properties ............................................................................................................482 Descriptors..............................................................................................................................487 Multiple Inheritance: Example ...............................................................................................535 Polynomials ............................................................................................................................570 Metaclasses.............................................................................................................................597 Count Method Calls Using a Metaclass .................................................................................602 Abstract Classes......................................................................................................................607 2 HISTORY OF PYTHON EASY AS ABC What do the alphabet and the programming language Python have in common? Right, both start with ABC. If we are talking about ABC in the Python context, it's clear that the programming language ABC is meant. ABC is a general-purpose programming language and programming environment, which was developed in the Netherlands, Amsterdam, at the CWI (Centrum Wiskunde & Informatica). The greatest achievement of ABC was to influence the design of Python. Python was conceptualized in the late 1980s. Guido van Rossum worked that time in a project at the CWI, called Amoeba, a distributed operating system. In an interview with Bill Venners1, Guido van Rossum said: "In the early 1980s, I worked as an implementer on a team building a language called ABC at Centrum voor Wiskunde en Informatica (CWI). I don't know how well people know ABC's influence on Python. I try to mention ABC's influence because I'm indebted to everything I learned during that project and to the people who worked on it." Later on in the same Interview, Guido van Rossum continued: "I remembered all my experience and some of my frustration with ABC. I decided to try to design a simple scripting language that possessed some of ABC's better properties, but without its problems. So I started typing. I created a simple virtual machine, a simple parser, and a simple runtime. I made my own version of the various ABC parts that I liked. I created a basic syntax, used indentation for statement grouping instead of curly braces or begin-end blocks, and developed a small number of powerful data types: a hash table (or dictionary, as we call it), a list, strings, and numbers." COMEDY, SNAKE OR PROGRAMMING LANGUAGE So, what about the name "Python"? Most people think about snakes, and even the logo depicts two snakes, but the origin of the name has its root in British humour. Guido van Rossum, the creator of Python, wrote in 1996 about the origin of the name of his programming language1: "Over six years ago, in December 1989, I was looking for a 'hobby' programming project that would keep me occupied during the week around Christmas. My office ... would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus)." THE ZEN OF PYTHON Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. HISTORY OF PYTHON 3 Sparse is better than dense. Readability counts. Special cases aren't special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one -- and preferably only one -- obvious way to d o it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than *right* now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Namespaces are one honking great idea -- let's do more of those! DEVELOPMENT STEPS OF PYTHON Guido Van Rossum published the first version of Python code (version 0.9.0) at alt.sources in February 1991. This release included already exception handling, functions, and the core data types of list, dict, str and others. It was also object oriented and had a module system. Python version 1.0 was released in January 1994. The major new features included in this release were the functional programming tools lambda, map, filter and reduce, which Guido Van Rossum never liked. Six and a half years later in October 2000, Python 2.0 was introduced. This release included list comprehensions, a full garbage collector and it was supporting unicode. Python flourished for another 8 years in the versions 2.x before the next major release as Python 3.0 (also known as "Python 3000" and "Py3K") was released. Python 3 is not backwards compatible with Python 2.x. The emphasis in Python 3 had been on the removal of duplicate programming constructs and modules, thus fulfilling or coming close to fulfilling the 13th law of the Zen of Python: "There should be one -- and preferably only one -- obvious way to do it." SOME CHANGES IN PYTHON 3.0: Print is now a function Views and iterators instead of lists The rules for ordering comparisons have been simplified. E.g. a het erogeneous list cannot be sorted, because all the elements of a lis t must be comparable to each other. There is only one integer type left, i.e. int. long is int as well. The division of two integers returns a float instead of an intege r. "//" can be used to have the "old" behaviour. Text Vs. Data Instead Of Unicode Vs. 8-bit HISTORY OF PYTHON 4 THE INTERPRETER, AN INTERACTIVE SHELL THE TERMS 'INTERACTIVE' AND 'SHELL' The term "interactive" traces back to the Latin expression "inter agere". The verb "agere" means amongst other things "to do something" and "to act", while "inter" denotes the spatial and temporal position to things and events, i.e. "between" or "among" objects, persons, and events. So "inter agere" means "to act between" or "to act among" these. With this in mind, we can say that the interactive shell is between the user and the operating system (e.g. Linux, Unix, Windows or others). Instead of an operating system an interpreter can be used for a programming language like Python as well. The Python interpreter can be used from an interactive shell. The interactive shell is also interactive in the way that it stands between the commands or actions and their execution. In other words, the shell waits for commands from the user, which it executes and returns the result of the execution. Afterwards, the shell waits for the next input. A shell in biology is a calcium carbonate "wall" which protects snails or mussels from its environment or its enemies. Similarly, a shell in operating systems lies between the kernel of the operating system and the user. It's a "protection" in both directions. The user doesn't have to use the complicated basic functions of the OS but is capable of using the interactive shell which is relatively simple and easy to understand. The kernel is protected from unintentional and incorrect usages of system functions. Python offers a comfortable command line interface with the Python Shell, which is also known as the "Python Interactive Shell". It looks like the term "Interactive Shell" is a tautology, because "shell" is interactive on its own, at least the kind of shells we have described
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